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Updated: Jun 16, 2025

Characterization of Thermal Transport in One-dimensional Solid Materials
Published on: January 26, 2014
Beyond Linear Response: Equivalence between Thermodynamic Geometry and Optimal Transport.
Adrianne Zhong1,2, Michael R DeWeese1,2,3
1Department of Physics, <a href="https://ror.org/01an7q238">University of California, Berkeley</a>, Berkeley, California 94720, USA.
Optimal protocols for driving nonequilibrium systems are geodesics of the friction tensor. This study links thermodynamic geometry to optimal transport, enabling computation of exact protocols beyond the slow-driving limit.
Area of Science:
- Thermodynamics
- Statistical Mechanics
- Non-equilibrium Systems
Background:
- Thermodynamic geometry provides a framework for understanding the geometry of thermodynamic state spaces.
- Optimal control protocols in the slow-driving limit are known to follow geodesics of the friction tensor.
- Extending these optimal protocols beyond the linear response regime remains a significant challenge.
Purpose of the Study:
- To demonstrate the equivalence between thermodynamic geometry and L^2 optimal transport geometry for overdamped dynamics.
- To develop a computationally tractable method for obtaining optimal protocols beyond the slow-driving limit.
- To explain observed phenomena in optimal protocols, such as nonmonotonic behavior and discontinuous jumps.
Main Methods:
- Equating thermodynamic geometry with L^2 optimal transport geometry for overdamped systems.
- Formulating optimal protocols as a sum of friction tensor geodesics and a counterdiabatic term.
- Utilizing the Fisher information metric to define the counterdiabatic term.
Main Results:
- Thermodynamic geometry is shown to be equivalent to L^2 optimal transport geometry for overdamped dynamics.
- A method is presented for computing optimal protocols beyond the slow-driving limit, involving geodesic paths and a counterdiabatic correction.
- The derived geodesic-counterdiabatic protocols accurately describe parametric harmonic potentials and reproduce complex behaviors in double-well systems.
Conclusions:
- The connection between thermodynamic geometry and optimal transport provides a powerful tool for analyzing non-equilibrium systems.
- The developed method offers a computationally feasible approach to finding optimal driving protocols in various regimes.
- This work elucidates the origins of nonmonotonicity and abrupt changes in optimal control protocols.
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